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Le Toan T, Quegan S, Davidson MWJ, Balzter H, Paillou P, Papathanassiou K, Plummer S, Rocca
F, Saatchi S, Shugart H, Ulander L (2011) The BIOMASS mission: mapping global forest biomass to better understand the terrestrial carbon cycle. Remote Sens Environ 115:2850–2860.
https://doi.org/10.1016/j.rse.2011.03.020
Lefsky MA, Cohen WB, Parker GG, Harding DJ (2002) Lidar remote sensing for ecosystem studies. Bioscience 52:19. https://doi.org/10.1641/0006-3568(2002)052[0019:LRSFES]2.0.CO;2
Legendre P, Legendre L 1998 Numerical ecology, 2nd English edn. Amsterdam, Elsevier. https://
doi.org/10.1017/CBO9781107415324.004
Li Z-L, Becker F (1993) Feasibility of land surface temerature and emissivity determination from
AVHRR data. Remote Sens Environ 43:67–85
Li L, Zhang Q, Huang D (2014) A review of imaging techniques for plant phenotyping. Sensors
(Switzerland) 14:20078–20111. https://doi.org/10.3390/s141120078
Lloret J, Garcia M, Bri D, Sendra S (2009) A wireless sensor network deployment for rural and
forest fire detection and verification. Sensors 9:8722–8747. https://doi.org/10.3390/s91108722
Lopatin J, Fassnacht FE, Kattenborn T, Schmidtlein S (2017) Mapping plant species in mixed
grassland communities using close range imaging spectroscopy. Remote Sens Environ 201:12–
23. https://doi.org/10.1016/j.rse.2017.08.031
Lowry J, Hess L, Rosenqvist A (2009) Mapping and monitoring wetlands around the world using
ALOS PALSAR: the ALOS Kyoto and carbon initiative wetlands products. Innov Remote Sens
Photogramm:105–120. https://doi.org/10.1007/978-3-540-93962-7
Lu D (2006) The potential and challenge of remote sensing-based biomass estimation. Int J Remote
Sens 27:1297–1328. https://doi.org/10.1080/01431160500486732
Lu B, He Y, Liu H (2016) Investigating species composition in a temperate grassland using
unmanned aerial vehicle-acquired imagery. In: 4th international workshop on Earth observation and remote sensing applications, EORSA 2016 – proceedings. IEEE pp 107–111. https://
doi.org/10.1109/EORSA.2016.7552776
Lucas RM, Cronin N, Lee A, Moghaddam M, Witte C, Tickle P (2006) Empirical relationships
between AIRSAR backscatter and LiDAR-derived forest biomass, Queensland, Australia.
Remote Sens Environ 100:407–425. https://doi.org/10.1016/j.rse.2005.10.019
Luckman A, Baker J, Kuplich TM, Corina da Costa FY, Alejandro CF (1997) A study of the relationship between radar backscatter and regenerating tropical forest biomass for spaceborne SAR
instruments. Remote Sens Environ 60:1–13. https://doi.org/10.1016/S0034-4257(96)00121-6
Lutz DA, Washington-Allen RA, Shugart HH (2008) Remote sensing of boreal forest biophysical
and inventory parameters: a review. Can J Remote Sens 34:S286–S313. https://doi.org/10.5589/
m08-057
Mafuta M, Zennaro M, Bagula A, Ault G, Gombachika H, Chadza T (2013) Successful deployment of a wireless sensor network for precision agriculture in Malawi. Int J Distrib Sens Netw
2013:1–13. https://doi.org/10.1155/2013/150703
Maltamo M, Eerikäinen K, Packalén P, Hyyppä J (2006) Estimation of stem volume using laser
scanning-based canopy height metrics. Forestry 79:217–229. https://doi.org/10.1093/forestry/
cpl007
Manninen T, Korhonen L, Voipio P, Lahtinen P, Stenberg P (2009) Leaf area index (LAI) estimation of boreal forest using wide optics airborne winter photos. Remote Sens 1:1380–1394.
https://doi.org/10.3390/rs1041380
Martins F d SRV, dos Santos JR, Galvão LS, Xaud HAM (2016) Sensitivity of ALOS/PALSAR
imagery to forest degradation by fire in northern Amazon. Int J Appl Earth Obs Geoinf 49:163–
174. https://doi.org/10.1016/j.jag.2016.02.009
Mauro Brum J, Oliveira RS, Gutierrez J, Licata JPTG (2016) Effects of the 2015 El-Niño extreme
drought on the sapflow of trees in eastern Amazonia. In: Proceedings of the soil-plantatmosphere interactions in a tropical montane cloud forest. Emerging issues in tropical ecohydrology, 2016 – AGU CHAPMAN conference, Cuenca, Ecuador, pp 5–9
Mayr E (1942) Systematics and the origin of species: from the viewpoint of a zoologist. Nature.
https://doi.org/10.1038/151347a0
Mayr E (1969) The biological meaning of species. Biol J Linn Soc 1:311–320. https://doi.
org/10.1111/j.1095-8312.1969.tb00123.x
A. Lausch et al.
Le Toan T, Quegan S, Davidson MWJ, Balzter H, Paillou P, Papathanassiou K, Plummer S, Rocca
F, Saatchi S, Shugart H, Ulander L (2011) The BIOMASS mission: mapping global forest biomass to better understand the terrestrial carbon cycle. Remote Sens Environ 115:2850–2860.
https://doi.org/10.1016/j.rse.2011.03.020
Lefsky MA, Cohen WB, Parker GG, Harding DJ (2002) Lidar remote sensing for ecosystem studies. Bioscience 52:19. https://doi.org/10.1641/0006-3568(2002)052[0019:LRSFES]2.0.CO;2
Legendre P, Legendre L 1998 Numerical ecology, 2nd English edn. Amsterdam, Elsevier. https://
doi.org/10.1017/CBO9781107415324.004
Li Z-L, Becker F (1993) Feasibility of land surface temerature and emissivity determination from
AVHRR data. Remote Sens Environ 43:67–85
Li L, Zhang Q, Huang D (2014) A review of imaging techniques for plant phenotyping. Sensors
(Switzerland) 14:20078–20111. https://doi.org/10.3390/s141120078
Lloret J, Garcia M, Bri D, Sendra S (2009) A wireless sensor network deployment for rural and
forest fire detection and verification. Sensors 9:8722–8747. https://doi.org/10.3390/s91108722
Lopatin J, Fassnacht FE, Kattenborn T, Schmidtlein S (2017) Mapping plant species in mixed
grassland communities using close range imaging spectroscopy. Remote Sens Environ 201:12–
23. https://doi.org/10.1016/j.rse.2017.08.031
Lowry J, Hess L, Rosenqvist A (2009) Mapping and monitoring wetlands around the world using
ALOS PALSAR: the ALOS Kyoto and carbon initiative wetlands products. Innov Remote Sens
Photogramm:105–120. https://doi.org/10.1007/978-3-540-93962-7
Lu D (2006) The potential and challenge of remote sensing-based biomass estimation. Int J Remote
Sens 27:1297–1328. https://doi.org/10.1080/01431160500486732
Lu B, He Y, Liu H (2016) Investigating species composition in a temperate grassland using
unmanned aerial vehicle-acquired imagery. In: 4th international workshop on Earth observation and remote sensing applications, EORSA 2016 – proceedings. IEEE pp 107–111. https://
doi.org/10.1109/EORSA.2016.7552776
Lucas RM, Cronin N, Lee A, Moghaddam M, Witte C, Tickle P (2006) Empirical relationships
between AIRSAR backscatter and LiDAR-derived forest biomass, Queensland, Australia.
Remote Sens Environ 100:407–425. https://doi.org/10.1016/j.rse.2005.10.019
Luckman A, Baker J, Kuplich TM, Corina da Costa FY, Alejandro CF (1997) A study of the relationship between radar backscatter and regenerating tropical forest biomass for spaceborne SAR
instruments. Remote Sens Environ 60:1–13. https://doi.org/10.1016/S0034-4257(96)00121-6
Lutz DA, Washington-Allen RA, Shugart HH (2008) Remote sensing of boreal forest biophysical
and inventory parameters: a review. Can J Remote Sens 34:S286–S313. https://doi.org/10.5589/
m08-057
Mafuta M, Zennaro M, Bagula A, Ault G, Gombachika H, Chadza T (2013) Successful deployment of a wireless sensor network for precision agriculture in Malawi. Int J Distrib Sens Netw
2013:1–13. https://doi.org/10.1155/2013/150703
Maltamo M, Eerikäinen K, Packalén P, Hyyppä J (2006) Estimation of stem volume using laser
scanning-based canopy height metrics. Forestry 79:217–229. https://doi.org/10.1093/forestry/
cpl007
Manninen T, Korhonen L, Voipio P, Lahtinen P, Stenberg P (2009) Leaf area index (LAI) estimation of boreal forest using wide optics airborne winter photos. Remote Sens 1:1380–1394.
https://doi.org/10.3390/rs1041380
Martins F d SRV, dos Santos JR, Galvão LS, Xaud HAM (2016) Sensitivity of ALOS/PALSAR
imagery to forest degradation by fire in northern Amazon. Int J Appl Earth Obs Geoinf 49:163–
174. https://doi.org/10.1016/j.jag.2016.02.009
Mauro Brum J, Oliveira RS, Gutierrez J, Licata JPTG (2016) Effects of the 2015 El-Niño extreme
drought on the sapflow of trees in eastern Amazonia. In: Proceedings of the soil-plantatmosphere interactions in a tropical montane cloud forest. Emerging issues in tropical ecohydrology, 2016 – AGU CHAPMAN conference, Cuenca, Ecuador, pp 5–9
Mayr E (1942) Systematics and the origin of species: from the viewpoint of a zoologist. Nature.
https://doi.org/10.1038/151347a0
Mayr E (1969) The biological meaning of species. Biol J Linn Soc 1:311–320. https://doi.
org/10.1111/j.1095-8312.1969.tb00123.x
A. Lausch et al.